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dc.contributor.authorKariuki, Paul N
dc.date.accessioned2013-05-28T05:37:03Z
dc.date.available2013-05-28T05:37:03Z
dc.date.issued2009
dc.identifier.citationMasters of Medicine (Applied Computer Science)en
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/26320
dc.description.abstractThe world today has some very advanced lCT services and high quality life indicators. The existing online e-Iearning environments have been designed with this in mind, and are therefore reliant on reliable means of communication for their access. However, access to Internet which facilitates access to these online e-Iearning environments is not universal, and poses a significant cost to the user. The lack of access to online educational resources whether for economical or logistics reasons excludes otherwise eligible students from the course. This is a significant issue in rural and lower socioeconomic neighborhoods. On the other hand, occasional loss of connectivity, bandwidth provider problems or the need to take down parts of the network for maintenance still renders asynchronous communication dependant e-Iearning system inaccessible at times. This calls for new methods and technology to supplement traditional online based training and instruction and provide continuous learning even when offline. This research project present an Asynchronous Distributed e-Iearning Environment model that overcomes the challenges faced in the usage and implementation of synchronous communication dependant e-Iearning platforms. The learning environment proposed in this research overcomes the infrastructural challenges of access to online learning environment by providing an alternative mechanism that allows learning to continue even with minimal or unreliable communication infrastructure, thereby overcoming the infrastructural access barrier posed by the convectional e-Iearning environment. The system is modeled in conformity with the existing e-Iearning systems that are driven by network connectivity, having most of the features that are characteristic of todav's e-Iearning platform.en
dc.language.isoenen
dc.publisherUniversity of Nairobien
dc.titleModelling asynchronous distributed e-Learning environmenten
dc.typeThesisen
local.publisherSchool of Computing and Informaticsen


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